House_Price_Predication_Project

Project_Goal

Predict the price of a house by its features. If you are a buyer or sellor of the house, so supervised machine learning algorithms can help you to predict the price of the house just providing features of the target house.

Visualise Null/Missing Values

Change Categorical To Numerical (By Replace Method/LabelEncoder)

Outlier treatment

Linear Regression Model

Lasso model

RF Reg

SVM reg

KNN reg

Feature Engineering / Selection to improve accuracy

DROP FEATURES

Linear Regression Model

Lasso model

RF Reg

SVM reg

KNN reg

Test Data

Null Values

Linear Regression Model

SSE=np.sum(np.square(r - test_x)) SSE
d3=pd.concat([d2,d1],axis=1) d3d3.to_csv(r"C:\Users\TEST\Lin_basic_model.csv",index=False)

KNN

RF

Lasso